一个新的基于神经模糊控制器的最大功率点跟踪,用于部分遮蔽的电网连接光伏系统
Saeed Danyali1, Mohammad Babaeifard1, Mohammadamin Shirkhani1
1Department of Electrical Engineering, Ilam University, Ilam, Iran.
Heliyon
|September 16, 2024
概括
这项研究介绍了一种新的神经模糊控制器,它配备了引力搜索算法 (GSA),用于在光伏 (PV) 系统中增强最大功率点跟踪 (MPPT). 新方法提高了输出功率和跟踪速度,即使在部分遮阳条件下.
科学领域:
- 可再生能源系统可再生能源系统
- 电气工程 电气工程
- 控制系统 控制系统
背景情况:
- 混合微电网普遍存在,需要通过逆变器在直流和交流两侧之间进行高效的电力交换.
- 由于经济考虑,从光伏 (PV) 系统中提取最大功率至关重要.
- 太阳能系统中的部分遮阳条件显著降低了输出功率,并使最大功率点跟踪 (MPPT) 复杂化.
研究的目的:
- 开发和评估一个新的神经模糊控制器用于电网连接的光伏系统中MPPT.
- 为了应对在部分阴影条件下跟踪全球最大功率点 (GMPP) 的挑战.
- 通过先进的控制策略,提高光伏系统的效率和功率输出.
主要方法:
- 实现一个与重力搜索算法 (GSA) 集成的神经模糊控制器.
- 使用GSA有效地跟踪电网连接光伏系统的GMPP.
- 控制连接到电网的逆变器的电压,以获得最佳的电力提取.
主要成果:
- 拟议的神经模糊控制器在均和部分阴影下准确地跟踪MPPT.
- 与传统的MPPT方法相比,跟踪速度和输出功率的显著改进.
- 控制器表现出适应动态阴影变化的能力,确保稳定的输出功率.
结论:
- 使用GSA开发的神经模糊控制器为联网光伏系统的MPPT技术提供了显著的进步.
- 该方法提供了高速,准确的功率跟踪和更好的能量产量,特别是在具有挑战性的阴影场景下.
- 控制器的自适应性确保在可变的环境条件下提供稳健的性能和最佳的发电.
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